Li, Ang

98 publications

ICLR 2026 Are EEG Foundation Models Worth It? Comparative Evaluation with Traditional Decoders in Diverse BCI Tasks Liuyin Yang, Qiang Sun, Ang Li, Marc M. Van Hulle

ICLR 2026 Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Shwai He, Weilin Cai, Jiayi Huang, Ang Li

ICLR 2026 HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu

ICLR 2026 Local Linear Attention: An Optimal Interpolation of Linear and SoftMax Attention for Test-Time Regression Yifei Zuo, Yutong Yin, Zhichen Zeng, Ang Li, Banghua Zhu, Zhaoran Wang

TMLR 2026 Retrospective Feature Estimation for Continual Learning Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D Doan

ICLR 2026 Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs Kan Zhu, Tian Tang, Qinyu Xu, Zhan Jin, Yile Gu, Zhichen Zeng, Rohan Kadekodi, Liangyu Zhao, Ang Li, Arvind Krishnamurthy, Baris Kasikci

TMLR 2026 Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping Shwai He, Guoheng Sun, Zheyu Shen, Ang Li

ICLR 2026 Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning Ang Li, Charles L. Wang, Deqing Fu, Kaiyu Yue, Zikui Cai, Wang Bill Zhu, Ollie Liu, Peng Guo, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum

ICLR 2026 Zeros Can Be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores Chunshu Wu, Ruibing Song, Sushant Kondguli, Tong Geng, Ang Li

NeurIPS 2025 $\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning Xiaojun Guo, Ang Li, Yifei Wang, Stefanie Jegelka, Yisen Wang

ICLR 2025 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

ICLRW 2025 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

ICML 2025 An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng

NeurIPS 2025 Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling Daksh Mittal, Ang Li, Thomson Yen, C. Daniel Guetta, Hongseok Namkoong

ICLR 2025 DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng

ICLR 2025 Diff-PIC: Revolutionizing Particle-in-Cell Nuclear Fusion Simulation with Diffusion Models Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng

NeurIPS 2025 FAIR Universe HiggsML Uncertainty Dataset and Competition Wahid Bhimji, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E Khoda, Claudius Krause, Ang Li, Benjamin Nachman, David Rousseau, Robert Schöfbeck, Maryam Shooshtari, Dennis Schwarz, Ihsan Ullah, Daohan Wang, Yulei Zhang

MIDL 2025 Federated Class-Heterogeneous Report Labeling with Surgical Aggregation Nikhil Shah, Pranav Kulkarni, Florence Doo, Ang Li, Michael A. Jacobs, Vishwa Sanjay Parekh

ECML-PKDD 2025 Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations Yibin Liu, Ang Li, Shijian Li

NeurIPS 2025 LLM Generated Persona Is a Promise with a Catch Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng

WACV 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li

LoG 2025 NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng

ICLR 2025 On Scaling up 3D Gaussian Splatting Training Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie

ICLR 2025 PersonalLLM: Tailoring LLMs to Individual Preferences Thomas P Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong

AAAI 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye

ICML 2025 Speculate, Then Collaborate: Fusing Knowledge of Language Models During Decoding Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin

NeurIPS 2025 SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li

ICLR 2025 Towards Counterfactual Fairness Through Auxiliary Variables Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

TMLR 2025 Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques Shwai He, Daize Dong, Liang Ding, Ang Li

NeurIPS 2024 $\texttt{Model-GLUE}$: Democratized LLM Scaling for a Large Model Zoo in the Wild Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

NeurIPSW 2024 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

ICLR 2024 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han

ICLR 2024 Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng

NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li

ICLR 2024 FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang, Jianyu Wang, Ang Li

CVPR 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling Xuzhe Zhang, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

ECCVW 2024 On Scaling up 3D Gaussian Splatting Training Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie

ICML 2024 PID: Prompt-Independent Data Protection Against Latent Diffusion Models Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang

NeurIPSW 2024 PersonalLLM: Tailoring LLMs to Individual Preferences Thomas P Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong

AAAI 2024 Probabilities of Causation with Nonbinary Treatment and Effect Ang Li, Judea Pearl

NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong

NeurIPS 2024 SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li

ECCV 2024 SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Hao Su, Minghua Liu

ICML 2024 TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang

AAAI 2024 Unit Selection with Nonbinary Treatment and Effect Ang Li, Judea Pearl

NeurIPS 2023 Adversarial Examples Are Not Real Features Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

ICCV 2023 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding

ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li

NeurIPS 2023 FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang

WACV 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu

AAAI 2023 Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion Under Uncertainty Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng

ICML 2023 Open-VCLIP: Transforming CLIP to an Open-Vocabulary Video Model via Interpolated Weight Optimization Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang

ICCV 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning Junfeng Guo, Ang Li, Lixu Wang, Cong Liu

AISTATS 2023 Probabilities of Causation: Role of Observational Data Ang Li, Judea Pearl

ICLR 2022 AEVA: Black-Box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo, Ang Li, Cong Liu

AAAI 2022 Bounds on Causal Effects and Application to High Dimensional Data Ang Li, Judea Pearl

IJCAI 2022 Causes of Effects: Learning Individual Responses from Population Data Scott Mueller, Ang Li, Judea Pearl

ICLR 2022 Information-Theoretic Online Memory Selection for Continual Learning Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias

IJCAI 2022 Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting Ang Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke

CVPR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung

NeurIPSW 2022 Probabilities of Causation: Adequate Size of Experimental and Observational Samples Ang Li, Ruirui Mao, Judea Pearl

ECCV 2022 Semi-Supervised Vision Transformers Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang

AAAI 2022 SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao

ECCV 2022 SphereFed: Hyperspherical Federated Learning Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung

AAAI 2022 Unit Selection with Causal Diagram Ang Li, Judea Pearl

NeurIPSW 2022 Unit Selection: Learning Benefit Function from Finite Population Data Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

ECCV 2022 Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang

NeurIPS 2021 FL-WBC: Enhancing Robustness Against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li

IJCAI 2021 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

NeurIPSW 2021 One Pass ImageNet Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur

CVPR 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

ICMLW 2021 Task-Agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu

WACV 2020 A Multi-Scale Guided Cascade Hourglass Network for Depth Completion Ang Li, Zejian Yuan, Yonggen Ling, Wanchao Chi, Shenghao Zhang, Chong Zhang

ECCV 2020 Hybrid Models for Open Set Recognition Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo

AAAI 2020 Improved Knowledge Distillation via Teacher Assistant Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

CVPRW 2020 Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

NeurIPS 2020 Learning to Incentivize Other Learning Agents Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

AISTATS 2020 Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li

CVPR 2020 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong, Junfeng Guo, Ang Li, Cong Liu

ICLR 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui

ECCV 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

ICCV 2019 Cross-View Policy Learning for Street Navigation Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar

IJCAI 2019 Generative Image Inpainting with Submanifold Alignment Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

ICCV 2019 Layout-Induced Video Representation for Recognizing Agent-in-Place Actions Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis

AAAI 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi

IJCAI 2019 Unit Selection Based on Counterfactual Logic Ang Li, Judea Pearl

ECCV 2018 C-WSL: Count-Guided Weakly Supervised Localization Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis

CVPR 2018 Dynamic Zoom-in Network for Fast Object Detection in Large Images Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis

CVPR 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis

CVPR 2017 Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis

ICCV 2017 Learning Visual N-Grams from Web Data Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten

ICCV 2017 Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis

CVPR 2016 Coordinating Multiple Disparity Proposals for Stereo Computation Ang Li, Dapeng Chen, Yuanliu Liu, Zejian Yuan

ICCV 2015 Selective Encoding for Recognizing Unreliably Localized Faces Ang Li, Vlad Morariu, Larry S. Davis

ECCV 2014 Planar Structure Matching Under Projective Uncertainty for Geolocation Ang Li, Vlad I. Morariu, Larry S. Davis

IJCAI 2013 Efficient Learning in Linearly Solvable MDP Models Ang Li, Paul R. Schrater

CVPR 2012 Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu

ECCV 2010 Discriminative Nonorthogonal Binary Subspace Tracking Ang Li, Feng Tang, Yanwen Guo, Hai Tao